BayesPIM-package {BayesPIM} | R Documentation |
BayesPIM: Bayesian Prevalence-Incidence Mixture Model
Description
Models time-to-event data from interval-censored screening studies. It accounts for latent prevalence at baseline and incorporates misclassification due to imperfect test sensitivity. For usage details, see the package vignette ("BayesPIM_intro"). Further details can be found in T. Klausch, B. I. Lissenberg-Witte, and V. M. Coupe (2024), "A Bayesian prevalence-incidence mixture model for screening outcomes with misclassification", doi:10.48550/arXiv.2412.16065.
Author(s)
Maintainer: Thomas Klausch t.klausch@amsterdamumc.nl
See Also
Useful links:
Report bugs at https://github.com/thomasklausch2/BayesPIM/issues
[Package BayesPIM version 1.0.0 Index]